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Operational prediction of ash concentrations in the distal\ud volcanic cloud from the 2010 Eyjafjallajökull eruption

机译:远端\ ud中灰分浓度的操作预测 2010Eyjafjallajökull喷发的火山云

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摘要

During the 2010 eruption of Eyjafjallajökull, improvements were made to the modeling procedure at the Met Office, UK, enabling peak ash concentrations within the volcanic cloud to be estimated. In this paper we describe the ash concentration forecasting method, its rationale and how it evolved over time in response to new information and user requirements. The change from solely forecasting regions of ash to also estimating peak ash concentrations required consideration of volcanic ash emission rates, the fraction of ash surviving near-source fall-out, and the relationship between predicted mean and local peak ash concentrations unresolved by the model. To validate the modeling procedure, predicted peak ash concentrations are compared against observations obtainedby ground-based and research aircraft instrumentation. This comparison between modeled and observed peak concentrations highlights the many sources of error and theuncertainties involved. Despite the challenges of predicting ash concentrations, the ash forecasting method employed here is found to give useful guidance on likely ashconcentrations. Predicted peak ash concentrations lie within about one and a half orders of magnitude of the observed peak concentrations. A significant improvement in the agreement between modeled and observed values is seen if a buffer zone, accounting for positional errors in the predicted ash cloud, is used. Sensitivity of the predicted ash concentrations to the source properties (e.g., the plume height and the vertical distribution of ash at the source) is assessed and in some cases, seemingly minor uncertainties in the source specification have a large effect on predicted ash concentrations.
机译:在2010年Eyjafjallajökull爆发期间,英国气象局对建模程序进行了改进,从而可以估算火山云中的最高灰分浓度。在本文中,我们描述了灰分浓度预测方法,其原理以及如何响应新的信息和用户需求而随时间演变。从仅预测灰分区域到估计峰值灰分浓度的变化都需要考虑火山灰排放速率,幸存的近源沉降灰分,以及模型未解决的预测平均灰分和局部峰值灰分浓度之间的关系。为了验证建模程序,将预测的峰值灰分浓度与地面和研究飞机仪器获得的观测值进行比较。建模峰浓度与观察峰浓度之间的这种比较突出了许多误差来源和不确定性。尽管预测灰分浓度存在挑战,但发现此处采用的灰分预测方法可为可能的灰分浓度提供有用的指导。预测的峰值灰分浓度在所观察到的峰值浓度的大约一半数量级内。如果使用了一个缓冲区域(考虑了预计的灰云中的位置误差),则可以在建模值与观察值之间的一致性上取得显着改善。评估了预计的灰分浓度对源特性的敏感性(例如羽流高度和源头灰分的垂直分布),在某些情况下,源规范中似乎很小的不确定性对预计的灰分浓度有很大的影响。

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